Effective learning model of user classification based on ensemble learning algorithms-Reference-Cited by-同舟云学术

Effective learning model of user classification based on ensemble learning algorithms

Published:2018-12-19 Issue:6 Volume:101 Page:531-545
ISSN:0010-485X
Container-title:Computing
language:en
Short-container-title:Computing

Author:

Ruan Qunsheng,Wu Qingfeng,Wang Yingdong,Liu Xiling,Miao Fengyu

Funder

Key project of national key R&D project

National Natural Science Foundation of China

Natural Science Foundation of Fujian Province

the research program of normal university

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s00607-018-0688-4.pdf

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3. Lin L, Wang F, Xie XL (2017) Random forests-based extreme learning machine ensemble for multi-regime time series prediction. Expert Syst Appl 83:164–176

4. Isaac FV, Elena HP, Diego AE (2017) Combining machine learning models for the automatic detection of eeg arousals. Neurocomputing 268:100–108

5. Janik M, Bossew P, Kurihara O (2018) Machine learning methods as a tool to analyse incomplete or irregularly sampled radon time series data. Total Environ 630:1155–1167

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